Zhixia Gu, Tingting Liu, Jun Li, Chuan Song, Xinlong Wang, Ying Tang, Mo Du, Yuhai Bi, Yuanyuan Zhang, Ronghua Jin, Rui Song
{"title":"加强上呼吸道感染检测:利用靶向新一代测序探索qPCR阴性呼吸道样本。","authors":"Zhixia Gu, Tingting Liu, Jun Li, Chuan Song, Xinlong Wang, Ying Tang, Mo Du, Yuhai Bi, Yuanyuan Zhang, Ronghua Jin, Rui Song","doi":"10.1007/s15010-025-02578-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Respiratory infections re-emerge unpredictably. Rapid pathogen identification is crucial for effective targeted therapy.</p><p><strong>Methods: </strong>From November 15, 2023, to December 15, 2023, 574 respiratory tract samples (nasopharyngeal and oropharyngeal swabs) were collected at Beijing Ditan Hospital and Beijing Haidian Hospital. Targeted next-generation sequencing (tNGS) was further used to examine the respiratory samples identified as unfavorable by quantitative real-time PCR (qPCR).</p><p><strong>Results: </strong>Using qPCR testing, 368 out of 574 samples (64.1%) were positive, while 206 samples (35.9%) showed no pathogen. TNGS further found that 167 out of these 206 cases (81.1%) had pathogens detected, with 58 different pathogens identified. The most frequent viruses, bacteria, and fungi were H3N2 (n = 73), Streptococcus pneumoniae (S. pneumoniae) (n = 18), Staphylococcus aureus (S. aureus) (n = 18), and Candida albicans (C. albicans) (n = 17). There were 102 cases of mixed infections, among which H3N2 appeared most frequently (51/102, 50%), and coinfections often involved Human betaherpesvirus 7 and S. aureus. In 20 cases where antibiotic resistance genes (ARGs) were detected, four were infected with H3N2. Among these, TEM and tetB were associated with Acinetobacter baumannii, APH was associated with Stenotrophomonas maltophilia, and the remaining resistance genes were linked to S. pneumoniae.</p><p><strong>Conclusion: </strong>TNGS is more sensitive than qPCR for detecting pathogens, which is crucial for identifying prevalent and harmful ones like H3N2, S. pneumoniae, and S. aureus. Its integration into routine clinical testing is recommended, though more research is needed for clear guidelines.</p>","PeriodicalId":13600,"journal":{"name":"Infection","volume":" ","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing upper respiratory tract infection detection: exploring qPCR negative respiratory samples using targeted next-generation sequencing.\",\"authors\":\"Zhixia Gu, Tingting Liu, Jun Li, Chuan Song, Xinlong Wang, Ying Tang, Mo Du, Yuhai Bi, Yuanyuan Zhang, Ronghua Jin, Rui Song\",\"doi\":\"10.1007/s15010-025-02578-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Respiratory infections re-emerge unpredictably. Rapid pathogen identification is crucial for effective targeted therapy.</p><p><strong>Methods: </strong>From November 15, 2023, to December 15, 2023, 574 respiratory tract samples (nasopharyngeal and oropharyngeal swabs) were collected at Beijing Ditan Hospital and Beijing Haidian Hospital. Targeted next-generation sequencing (tNGS) was further used to examine the respiratory samples identified as unfavorable by quantitative real-time PCR (qPCR).</p><p><strong>Results: </strong>Using qPCR testing, 368 out of 574 samples (64.1%) were positive, while 206 samples (35.9%) showed no pathogen. TNGS further found that 167 out of these 206 cases (81.1%) had pathogens detected, with 58 different pathogens identified. The most frequent viruses, bacteria, and fungi were H3N2 (n = 73), Streptococcus pneumoniae (S. pneumoniae) (n = 18), Staphylococcus aureus (S. aureus) (n = 18), and Candida albicans (C. albicans) (n = 17). There were 102 cases of mixed infections, among which H3N2 appeared most frequently (51/102, 50%), and coinfections often involved Human betaherpesvirus 7 and S. aureus. In 20 cases where antibiotic resistance genes (ARGs) were detected, four were infected with H3N2. Among these, TEM and tetB were associated with Acinetobacter baumannii, APH was associated with Stenotrophomonas maltophilia, and the remaining resistance genes were linked to S. pneumoniae.</p><p><strong>Conclusion: </strong>TNGS is more sensitive than qPCR for detecting pathogens, which is crucial for identifying prevalent and harmful ones like H3N2, S. pneumoniae, and S. aureus. 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Introduction: Respiratory infections re-emerge unpredictably. Rapid pathogen identification is crucial for effective targeted therapy.
Methods: From November 15, 2023, to December 15, 2023, 574 respiratory tract samples (nasopharyngeal and oropharyngeal swabs) were collected at Beijing Ditan Hospital and Beijing Haidian Hospital. Targeted next-generation sequencing (tNGS) was further used to examine the respiratory samples identified as unfavorable by quantitative real-time PCR (qPCR).
Results: Using qPCR testing, 368 out of 574 samples (64.1%) were positive, while 206 samples (35.9%) showed no pathogen. TNGS further found that 167 out of these 206 cases (81.1%) had pathogens detected, with 58 different pathogens identified. The most frequent viruses, bacteria, and fungi were H3N2 (n = 73), Streptococcus pneumoniae (S. pneumoniae) (n = 18), Staphylococcus aureus (S. aureus) (n = 18), and Candida albicans (C. albicans) (n = 17). There were 102 cases of mixed infections, among which H3N2 appeared most frequently (51/102, 50%), and coinfections often involved Human betaherpesvirus 7 and S. aureus. In 20 cases where antibiotic resistance genes (ARGs) were detected, four were infected with H3N2. Among these, TEM and tetB were associated with Acinetobacter baumannii, APH was associated with Stenotrophomonas maltophilia, and the remaining resistance genes were linked to S. pneumoniae.
Conclusion: TNGS is more sensitive than qPCR for detecting pathogens, which is crucial for identifying prevalent and harmful ones like H3N2, S. pneumoniae, and S. aureus. Its integration into routine clinical testing is recommended, though more research is needed for clear guidelines.
期刊介绍:
Infection is a journal dedicated to serving as a global forum for the presentation and discussion of clinically relevant information on infectious diseases. Its primary goal is to engage readers and contributors from various regions around the world in the exchange of knowledge about the etiology, pathogenesis, diagnosis, and treatment of infectious diseases, both in outpatient and inpatient settings.
The journal covers a wide range of topics, including:
Etiology: The study of the causes of infectious diseases.
Pathogenesis: The process by which an infectious agent causes disease.
Diagnosis: The methods and techniques used to identify infectious diseases.
Treatment: The medical interventions and strategies employed to treat infectious diseases.
Public Health: Issues of local, regional, or international significance related to infectious diseases, including prevention, control, and management strategies.
Hospital Epidemiology: The study of the spread of infectious diseases within healthcare settings and the measures to prevent nosocomial infections.
In addition to these, Infection also includes a specialized "Images" section, which focuses on high-quality visual content, such as images, photographs, and microscopic slides, accompanied by brief abstracts. This section is designed to highlight the clinical and diagnostic value of visual aids in the field of infectious diseases, as many conditions present with characteristic clinical signs that can be diagnosed through inspection, and imaging and microscopy are crucial for accurate diagnosis. The journal's comprehensive approach ensures that it remains a valuable resource for healthcare professionals and researchers in the field of infectious diseases.